Constrained estimators of treatment parameters in semiparametric models

Marcin Przystalski and Pawel Krajewski

Statistics & Probability Letters, 2007, vol. 77, issue 9, 914-919

Abstract: Semiparametric models are generalizations of parametric regression models. We present a method of estimation of treatment effects in a semiparametric model with one smoothing term under additional conditions on their linear functions and its application to hypothesis testing.

Keywords: Cubic; smoothing; splines; Estimation; Hypothesis; testing; Loess (search for similar items in EconPapers)
Date: 2007
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Citations: View citations in EconPapers (4)

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